Releasesby GlyphWhat's new:
- Deploy after tg login : tg beta jig deploy now works with a tg login session, so you don't need an API key to deploy a container . Expiring secrets: client.beta.jig.secrets.create and update take ttl_seconds , which sets how long a secret lives before it's deleted, from one to 14 days. Secrets return their deletion time as expires_at .
Also shipped Nov 3, 2026Together AI in November 2026 →
Gemini Enterprise: Salesforce federated data store
Connecting a Salesforce data source with Gemini Enterprise using data federation is generally available (GA). You can use the Gemini Enterprise app assistant to search across your Salesforce accounts, contacts, opportunities, cases, leads, and custom objects, get answers grounded in that content, and create, update, and delete records without needing to...
[In preview] Public Preview: Extend immutability for PITR backups for Azure SQL Database and Azure SQL Managed Instance
With this enhancement, you have the ability to lock your retention to the configured PITR retention, beyond the default 7 days of immutable backups that are already available. This is especially useful for financial customers who typically have 35 days of
UI improvements now generally available for PD Reliability Platform customers
Customers on PD Reliability Platform now have an improved UI experience, including: Consolidated settings: Brings all your configuration and admin settings together in one place. New nav: Provides streamlined access to your most important capabilities. Your Subscription: Shows where the opportunities are to shift work off humans and onto AI and automation.
Claude auto-connect (beta) for PagerDuty MCP Server now in Early Access
With Claude auto-connect, members with a matching PagerDuty account are connected to PagerDuty in Claude automatically, with no sign-in screen and no identity provider (IdP) configuration. Members act as themselves in PagerDuty, with the permissions they already have there.
In BigQuery Studio , the left pane has been updated with new tab names
In BigQuery Studio , the left pane has been updated with new tab names. The Classic Explorer tab has been renamed to the Data tab, and the Repository tab has been renamed to the Source control tab. The Data tab now includes the Add data button and focuses on data hierarchies. These changes are generally available (GA).
Dependabot version updates support Agent Package Manager
You can now keep your AI agent skills, prompts, and instructions up to date with Dependabot version updates for Agent Package Manager (APM) . Dependabot opens pull requests to update supported git dependencies declared in apm.yml and regenerates apm.lock.yaml when it’s present. This support covers version updates, not security updates.
More from Together AI platformEvery Together AI platform release →
Messages API and Responses API
Together AI now supports the Anthropic Messages API at POST /v1/messages and the OpenAI Responses API at POST /v1/responses . To run an app built on either API on Together, change its API key, base URL, and model.
Post-training: FP4 preparation for MiniMax M3.1 Flash
You can now deploy a MiniMax M3.1 Flash adapter on dedicated model inference by first preparing it for FP4 inference . The base model already ships in its serving format, so the job only merges the adapter, which takes about 1 hour.
Together Python SDK and CLI 3.1.0
Together Python SDK 3.1.0 and Together CLI 3.1.0 are now available.
Post-training: MiniMax M3 retired
MiniMaxAI/MiniMax-M3 is no longer available for new post-training model resources. Use MiniMaxAI/MiniMax-M3.1-Flash instead. Existing MiniMax M3 model resources keep running, and their checkpoints stay available for download. See Supported models .
Post-training: Kimi K3.1 Pro
Together AI now supports LoRA post-training for the Kimi K3.1 Pro model with a 163,840-token training context.
Post-training: GLM-5.3 Flash
zai-org/GLM-5.3-Flash is available for post-training : LoRA training on B200-SXM , a 159,744-token training context, a 163,840-token generator context, rank up to 32, and up to five adapter sessions per resource. The cookbook renders its prompts with the GLM codec.
New serverless models
Together AI added the moonshotai/Kimi-K3.1-Pro model to its serverless platform, supporting a 1M token context window, function calling, and structured outputs.
Post-training: MiniMax M3.1 Flash
Together AI now supports LoRA training for the MiniMax M3.1 Flash model, featuring a 262,144-token context window.